Popular GitHub Repositories for Quantum Monte Carlo

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

MuZero

Optimizing inference proxy for LLMs

Monte Carlo tree search in JAX

Bayesian inference with probabilistic programming.

Gaussian processes in TensorFlow

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Differentiable rendering without approximation.

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

SchNetPack - Deep Neural Networks for Atomistic Systems

Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

A tool for retrosynthetic planning